GB2569986A - Method and system of mapping emissions - Google Patents

Method and system of mapping emissions Download PDF

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Publication number
GB2569986A
GB2569986A GB1800223.8A GB201800223A GB2569986A GB 2569986 A GB2569986 A GB 2569986A GB 201800223 A GB201800223 A GB 201800223A GB 2569986 A GB2569986 A GB 2569986A
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United Kingdom
Prior art keywords
nox
vehicle
location
emission
digital map
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
GB1800223.8A
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GB201800223D0 (en
Inventor
Das Mithun
Saradindubasu Saptarshi
Prakash Agarwal Manuj
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Continental Automotive GmbH
Continental Automotive Singapore Pte Ltd
Original Assignee
Continental Automotive GmbH
Continental Automotive Singapore Pte Ltd
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Publication date
Application filed by Continental Automotive GmbH, Continental Automotive Singapore Pte Ltd filed Critical Continental Automotive GmbH
Priority to GB1800223.8A priority Critical patent/GB2569986A/en
Publication of GB201800223D0 publication Critical patent/GB201800223D0/en
Priority to PCT/EP2019/050214 priority patent/WO2019134989A1/en
Priority to CN201980007585.0A priority patent/CN111819421A/en
Publication of GB2569986A publication Critical patent/GB2569986A/en
Withdrawn legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3461Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3691Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions
    • G01C21/3694Output thereof on a road map
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/38Electronic maps specially adapted for navigation; Updating thereof
    • G01C21/3863Structures of map data
    • G01C21/387Organisation of map data, e.g. version management or database structures
    • G01C21/3878Hierarchical structures, e.g. layering
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60HARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • B60H1/008Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models the input being air quality
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3667Display of a road map
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/38Electronic maps specially adapted for navigation; Updating thereof
    • G01C21/3804Creation or updating of map data
    • G01C21/3807Creation or updating of map data characterised by the type of data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
    • G01N33/0037NOx
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0073Control unit therefor
    • G01N33/0075Control unit therefor for multiple spatially distributed sensors, e.g. for environmental monitoring
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions
    • G08G1/0962Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968Systems involving transmission of navigation instructions to the vehicle
    • G08G1/096833Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/20Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B29/00Maps; Plans; Charts; Diagrams, e.g. route diagram
    • G09B29/003Maps
    • G09B29/006Representation of non-cartographic information on maps, e.g. population distribution, wind direction, radiation levels, air and sea routes
    • G09B29/007Representation of non-cartographic information on maps, e.g. population distribution, wind direction, radiation levels, air and sea routes using computer methods
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/20Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
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  • Analytical Chemistry (AREA)
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  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • Biochemistry (AREA)
  • Food Science & Technology (AREA)
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  • Computer Hardware Design (AREA)
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Abstract

Information is received about a network of vehicles comprising location and emission of nitrogen oxides (NOx, a pollutant). For each vehicle, a travel path, and emission along that path, is predicted. The location and an indication of the emission is displayed on a digital map 102, and also the predicted path and predicted emission. A route may be generated to minimise exposure to emission, so that the air is cleaner on that route. The real-time location and NOx emission information, and the predicted information, may be presented as separate layers on the digital map, or as a single layer. The emission information may be colour-coded. The method may be used as part of a navigational system. The location and emission information may be received directly from each vehicle in the network (e.g. through V2V or DSRC), or via a database. The vehicles may measure emissions using onboard sensors 106.

Description

Method and System of Mapping Emissions
FIELD OF INVENTION
This invention relates to a method and system for creating an emission map and navigating traffic away from polluted areas.
BACKGROUND OF INVENTION
As vehicles for transportation become more accessible to the public, the number of vehicles on the roads will continually increase, leading to increased pollution on the roads. While government regulations to control vehicle emissions help reduce pollution to a certain extent, anyone near motorways may still be exposed to a certain level of unhealthy vehicle emissions.
There is therefore a need to provide intelligence to the public on the amount of pollution present along motorways.
DESCRIPTION
It is therefore an object to provide a method to address the problems discussed above. Particularly, it is an object to provide intelligence on pollution levels so that the community is more aware and better equipped to avoid or at least reduce exposure to pollution.
To accomplish these and other objects of the invention, there is provided, in a first aspect, a method comprising: receiving location of a network of vehicles and nitrogen oxides (NOx) emitted from each vehicle; displaying the location and an indication of the NOx emission of each vehicle on the digital map; predicting a travel path and NOx emission along the predicted travel path of each vehicle; displaying the predicted travel path and an indication of the predicted NOx emission along the predicted travel path of each vehicle on the digital map.
Nitrogen oxides or NOx refer to a compound or a mixture of compounds, wherein each compound consists of one or more nitrogen atoms and one or more oxygen atoms. Examples of NOx compounds include nitrogen monoxide, nitrogen dioxide and nitrous oxide. As NOx compounds are typically formed during combustion processes, motor vehicles including cars, trucks and various non-road vehicles (e.g. construction machinery, boats, etc) are contributors to NOx emissions. NOx is also emitted by agricultural processes and industrial plants. NOx is considered a pollutant because it contributes to the formation of smog, acid rain and ground level ozone. NOx in certain forms may also directly be hazardous to health. Accordingly, many governments regulate the amount of, e.g., NOx emitted from vehicles.
Many vehicles possess sensors, e.g. NOx sensors, to monitor the emission levels of the vehicle, to ensure compliance with emission standards. Vehicle sensors are termed "mobile sensors" herein. The NOx sensor of the vehicle may be located at an appropriate location for NOx detection, such as at the source of NOx production, e.g. at the exhaust. The data or readings from the NOx sensor may be used for different purposes. For example, NOx readings may be used to diagnose whether exhaust treatments or engines are functioning properly. In another example, the vehicle may transmit the NOx readings to a remote database for monitoring. The vehicle may transmit the NOx readings through a wired connection or communication interface, e.g. an OBD-II connector, or by wireless communication, e.g. Wi-Fi or cellular networks. The vehicle may transmit the NOX readings from the NOx sensor through an in-vehicle network to a system configured to wirelessly transmit data from the vehicle. Such wireless transmission systems may use long-range communication techniques and/or short-range communication technigues. Exemplary wireless transmission systems include telematics systems, DSRC systems, etc. The vehicle may similarly transmit other types of data to the remote database, e.g. amount of particulate matter or electrostatic particulate matter or carbon monoxide produced by the vehicle, vehicle location data, etc.
The remote database may be a central repository of information stored in one or a plurality of servers in one or a plurality of locations. The remote database may be a repository administered by a government body, e.g. a national environment agency or environmental protection agency. The remote database may be a repository administered privately. In an example, the remote database may be administered by a vehicle manufacturer wherein its manufactured vehicles transmit vehicle data to the database for, e.g., maintenance purposes. In another example, the remote database may be administered by an information aggregator, a service or data analytics provider or a map provider.
The disclosed method may receive or obtain location and emission data from such remote database. Alternatively or additionally, the disclosed method may receive or obtain location and emission data directly from vehicles capable of transmitting the data.
The disclosed method may receive or obtain location and emission data from sources other than connected vehicles. For example, sensors located around a city or town controlled by a city or town council may transmit emission data to the remote database or directly to the disclosed method. Such public sensors may be located on stationary infrastructure such as buildings or traffic lights and are thus stationary sensors. Such public sensors may be part of infrastructure capable of communicating with vehicles using, e.g., DSRC, and therefore may be part of a V2X or V2I network. Accordingly, the method may further comprise displaying an indication of NOx emission from other sources on the digital map. The disclosed method may be capable of monitoring pollution emitted from vehicles as well as pollution produced or generally present in the environment in a region like a city or town.
The disclosed method may receive or obtain other data relevant to emission levels, such as weather or wind direction.
Data from the various sources may be fused to provide an accurate indication of the emission levels on the digital map. Fusion of data may be performed in any suitable way. For example, emission data for a particular location may be the sum of vehicle emissions and environment emission data in that location, taking into account the speed and direction of the prevailing wind.
The disclosed method may continuously receive the data for display on the digital map, e.g. every second, or at predefined time intervals, or when a change in emission levels is detected, such as when NOx levels exceed permissible levels.
The data received may be displayed on a digital map, which is understood to include not only maps available in digital form for a local or global navigation system but also maps used for computer systems, e.g. advanced driving assistance systems, wherein no navigation takes place.
The vehicle location or sensor location may be displayed with a pin or a point on the digital map. The emission or NOx emission data may be displayed as a value next to or near to the display of the vehicle location. Alternatively, the emission or NOx emission data may be grouped into ranges, wherein each range is marked differently, e.g. by colour, shape, etc. For example, a higher amount of NOx emitted may be indicated as a different colour to that of a lower amount of NOx emitted. The display of the location and emission data may be combined into one indication on the digital map. For example, the location pin may be coloured according to the emission range.
Accordingly, the disclosed method maps the amount of pollution, such as NOx, emitted by a vehicle or a network of vehicles and/or amount of pollution that is generally present in the environment at any given time, even in real-time.
The method further comprises predicting a travel path of each vehicle. The prediction may comprise storing travel routes of the vehicle and the associated timings that the travel routes are taken. The stored information may be used to train a neural network model to learn about travel patterns/behaviour of the vehicle. For example, a vehicle may travel from destination A to destination B at around 8 am every weekday morning using a specific route. Thus, the travel path of this vehicle for the following weekday at around 8 am may be predicted as the specific route between destination A and destination B. The neural network may also take into account various variables and give appropriate weights to the variables to predict the future travel path of the vehicle more accurately.
Similarly, the method further comprises predicting the NOx emission of each vehicle. The historical emission or NOx emission along the historical travel routes may be stored and used to train the machine learning model, e.g. a neural network or an artificial neural network, to predict the emission along the predicted travel path of the vehicle. The model may also take into account various variables, such as current vehicle emission data, emission data from other sources and/or other data relevant to emission levels, e.g. wind or weather data, and give appropriate weights to the variables in order to predict the future NOx emission along the predicted travel path or along any motorway.
As mentioned above, the data from various sources may be fused and fed into the model.
Similarly as discussed above, the predicted travel path may be displayed on the digital map as a lightly shaded line or a series of dots or pins. The predicted emission or NOx emission may be indicated as a value or as a range of values or distinctly marked in terms of range along the predicted travel path of the vehicle. The predicted travel path may be marked according to emission range. The predicted emission or NOx emission may be indicated along any motorway or path on the digital map.
Accordingly, the disclosed method does not only provide intelligence and awareness on pollution levels at a given time, but pollution levels and locations of these pollution levels in the future. Further advantageously, the disclosed method assists users in visualising on a map where the polluted areas or the NOx footprint may be at a given time and in the future. Exposure to pollution may therefore be avoided or at least reduced, thereby improving the health of people who may otherwise be exposed to the pollution. While prior art methods may provide current and forecasted weather mapping or haze mapping for large regions as a whole, e.g. over a city or a country, prior art methods do not provide current and/or forecasted pollution mapping at a roadway level, directly from the source of the pollution, i.e. the vehicle.
The display of the real-time location and pollution levels and the display of the predicted location and pollution levels may be marked differently on the digital map for clarity to the user, e.g. lighter and darker shades, or different colours, etc.
The display of the location and the indication of the NOx emission of each vehicle may be presented as a layer on the digital map (real-time layer) . The display of the predicted travel path and the indication of the predicted NOx emission along the predicted travel path of each vehicle may be presented also as a layer on the digital map (prediction layer). There may also be a layer displaying historical travel paths and indications of the historical NOx emissions along the historical travel paths of each vehicle (historical layer). The layers may be presented on the same layer or may be presented on separate layers. The layers may be selectable upon user command. Advantageously, as the intelligence provided by the disclosed method may be provided in layer(s), the disclosed method may be provided to map providers to enhance the functionality of the map with pollution information. Advantageously, the user may turn off the layer(s) if such intelligence is not required or if a default map is simply required.
The method may further comprise generating a route from a current location to a destination location on the digital map, such that the route generated minimizes exposure to NOx emission. The route generated may be dependent on user command. For example, the user may be able to choose whether the route generated is a route having the lowest exposure to NOx emission, or whether the user wishes to balance distance to the destination location and exposure to NOx emission.
Advantageously, the route generation takes into account the intelligence on pollution levels provided by the method and provides assistance to users of the method, such as pedestrians, so they can avoid or at least minimize exposure to pollution along polluted routes.
As the level of pollution may provide an indication of the amount of traffic on the road, users of the method may include vehicle drivers who wish to avoid or at least minimize travelling on congested routes to the destination location. In an example, roadways in the city centre during after-office peak hours may be indicated as high emission zones. A driver navigating from destination A on a left side of the city centre to destination B on a right side of the city centre may use the method to generate a route from destination A to destination B that avoids the high emission zone at the city centre. In another example, a route generated for a user navigating from destination A outside the city centre to destination B within the city centre may include a driving leg to the fringe of the city centre and a public transport leg from the fringe to destination B within the city centre. Accordingly, a route that minimizes exposure to NOx emission may also minimize exposure to congestion.
Thus, the disclosed method may provide assistance to drivers or pedestrians or the community in general so that they can avoid (if desired) travelling to polluted areas at any given time of the day.
In another aspect, there is provided a computer program product residing on a computer readable storage medium, e.g. a non-transitory memory, the storage medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform the disclosed method.
In yet another aspect, there is provided a navigation system comprising: a communication interface configured to receive location of a network of vehicles and nitrogen oxides (NOx) emitted from each vehicle; a processor; and at least one computer readable storage medium, e.g. a non-transitory memory, coupled to the processor and storing a plurality of instructions which, when executed by the processor, cause the processor to perform the disclosed method.
The communication interface may be configured to receive or obtain location and emission data from a remote database as described above. Alternatively or additionally, the communication interface may be configured to receive or obtain location and emission data directly from vehicles capable of transmitting the data. Emission data may be NOx data and/or other types of emissions, e.g. particulate matter or carbon monoxide. The communication interface may be further configured to receive location and emission data from sources other than connected vehicles as described above, e.g. environmental NOx data, and/or other data relevant to emission levels. The communication interface may be a wired connection, e.g. an OBD-II connector, or may be a wireless communication interface, e.g. a Wi-Fi transceiver or cellular network transceiver.
The same or different computer readable storage medium may store a digital map or part of a digital map for display of the location and emission data. Alternatively or additionally, the communication interface may be configured to receive digital map data or additional digital map data.
The system may further comprise a positioning device to detect location of the system. The current location of the system may therefore be detected to assist in generating a route from the current location to a destination location. The positioning device may not be particularly limited, and may include GPS module, Wi-Fi module, gyro sensor, etc.
The system may further comprise input means configured to receive user's input of the destination location. The system may further comprise a display configured to display the digital map and/or the location and emission data.
The disclosed system may be part of an in-vehicle navigation system. In an example, a vehicle comprising the disclosed navigation system may be capable of receiving location and emission data from other vehicles. A vehicle comprising such navigation system may also comprise the NOx sensor and/or other sensors described above. Thus, such vehicle may be capable of monitoring its own emission readings to diagnose whether its systems, e.g. its exhaust treatment or engine, are functioning properly. Such vehicle may be capable of using its emission readings for maintenance purposes or alerts. For example, a sudden spike in NOx emission readings may indicate that the exhaust treatment or engine is not functioning properly and may cause a visual alert to display on, e.g. an instrument cluster, to alert the vehicle owner of the fact. Thus, vehicle life may be improved.
The disclosed system may be part of a mobile device. A mobile device, in the context of the present disclosure, refers to any computing device that is portable. Examples of mobile devices include, but are not limited to, mobile phone, wearable device, portable computer, etc. In an example, a mobile device comprising the disclosed navigation system may comprise a digital map or at least part of a digital map stored in a memory, or may be connected to a cellular network to download a digital map from an external server to the memory. The mobile device may be capable of receiving user input, e.g. by means of a touch screen or a keyboard, to enter a destination location. For route generation, the user may be able to select a preferred mode of transportation, e.g. by foot, by driving, by public transportation, or a mixture of modes .
The description is not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Modifications and equivalents will be apparent to practitioners skilled in this art and are encompassed within the scope of the appended claims .
DESCRIPTION OF DRAWINGS
An exemplary embodiment will now be described with reference to the accompanying drawings, in which:
Figure 1 shows an illustration of a layer displaying location and an indication of NOx emission of a stationary sensor 104 on a digital map 102 according to an embodiment of the invention.
Figure 2 shows an illustration of a layer displaying location and an indication of NOx emission of mobile sensors 106 on a digital map 102 according to an embodiment of the invention.
Figure 1 illustrates a layer displaying location and an indication of NOx emission of a stationary sensor 104 on a digital map 102 according to an embodiment of the invention. The stationary sensor 104 may be a NOx sensor located on a building. The stationary sensor 104 may transmit its NOx readings wirelessly to a wireless communication interface of a navigation system according to an embodiment of the invention (not shown). The navigation system may comprise a display displaying the digital map 102 as well as the location and an indication of the NOx emission of the stationary sensor 104 (indicated as the shaded point 104) on the digital map 102. Although not shown, a user may choose to view the predicted NOx emission of the stationary sensor 104 on the digital map 102. The user may also choose not to view the layer illustrated in Figure 1, and will therefore only see the digital map 102 and its roadways but will not see the point 104 .
Figure 2 illustrates a layer displaying location and an indication of NOx emission of mobile sensors 106 on a digital map 102 according to an embodiment of the invention. The mobile sensors 106 may be a collection of NOx sensors, each located on a vehicle in a network of vehicles. Each mobile sensor 106 may transmit its location and its NOx readings wirelessly to a wireless communication interface of a navigation system according to an embodiment of the invention (not shown). The navigation system may comprise a display displaying the digital map 102 . Displayed on the digital map 102 is a layer of a plurality of points, wherein some points indicate the current location and current NOx emission of each mobile sensor 106 while other points indicate the predicted travel path and predicted NOx emission along the predicted travel path of each mobile sensor 106. Although not shown, the points may be shaded with different intensity, wherein a darker intensity or darker shade indicates higher NOx emission and a lighter shade indicates lower NOx emission. Although not shown, a user may choose not to view the predicted travel path and predicted NOx emission along the predicted travel path of the mobile sensors 106 on the digital map 102, and only view the current location and current NOx emission of the mobile sensors 106 on the digital map 102 for clarity.

Claims (16)

  1. PATENT CLAIMS
    1. A method comprising: receiving location of a network of vehicles and nitrogen oxides (NOx) emitted from each vehicle; displaying the location and an indication of the NOx emission of each vehicle on the digital map; predicting a travel path and NOx emission along the predicted travel path of each vehicle; displaying the predicted travel path and an indication of the predicted NOx emission along the predicted travel path of each vehicle on the digital map.
  2. 2. The method of claim 1, further comprising: generating a route from a current location to a destination location on the digital map, such that the route generated minimizes exposure to NOx emission.
  3. 3. The method of claim 2, wherein the route generated is a route having the lowest exposure to NOx emission.
  4. 4. The method of any preceding claim, wherein the display of the location and the indication of the NOx emission of each vehicle is presented as a real-time layer on the digital map.
  5. 5. The method of any preceding claim, wherein the display of the predicted travel path and the indication of the predicted NOx emission along the predicted travel path of each vehicle is presented as a prediction layer on the digital map.
  6. 6. The method of claim 4 or 5, wherein the prediction layer is presented on the same layer as the real-time layer. Ί. The method of claim 4 or 5, wherein the prediction layer is presented as a separate layer as the real-time layer.
  7. 8. The method of any one of claims 4 to 7, wherein the layers are selectable upon user command.
  8. 9. The method of any preceding claim, wherein a higher amount of NOx emitted is indicated as a different colour to that of a lower amount of NOx emitted.
  9. 10. The method of any preceding claim, further comprising displaying an indication of NOx present in the environment on the digital map.
  10. 11. A computer program product residing on a computer readable storage medium, the storage medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform the method of any preceding claim.
  11. 12. A navigation system comprising: a communication interface configured to receive location of a network of vehicles and nitrogen oxides (NOx) emitted from each vehicle; a processor; at least one computer readable storage medium coupled to the processor and storing a plurality of instructions which, when executed by the processor, cause the processor to perform the method of any one of claims 1 to 10.
  12. 13. The navigation system of claim 12, further comprising a positioning device to detect location of the system.
  13. 14. The navigation system of claim 12 or 13, wherein the communication interface is a wireless communication interface .
  14. 15. The navigation system of any one of claims 12 to 14, wherein the communication interface is further configured to receive environmental NOx data.
  15. 16. The navigation system of any one of claims 12 to 15, wherein the system is part of an in-vehicle navigation system.
  16. 17. The navigation system of any one of claims 12 to 15, wherein the system is part of a mobile device.
GB1800223.8A 2018-01-08 2018-01-08 Method and system of mapping emissions Withdrawn GB2569986A (en)

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PCT/EP2019/050214 WO2019134989A1 (en) 2018-01-08 2019-01-07 Method and system of mapping emissions
CN201980007585.0A CN111819421A (en) 2018-01-08 2019-01-07 Method and system for drawing emission map

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